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  5. Azure Service Bus vs Scheduler API

Azure Service Bus vs Scheduler API

OverviewDecisionsComparisonAlternatives

Overview

Azure Service Bus
Azure Service Bus
Stacks553
Followers536
Votes7
Scheduler API
Scheduler API
Stacks5
Followers16
Votes0

Azure Service Bus vs Scheduler API: What are the differences?

Introduction

In this Markdown code, we will discuss the key differences between Azure Service Bus and Scheduler API, specifically highlighting six distinct characteristics.

  1. Message Queuing vs. Job Scheduling: Azure Service Bus primarily provides a messaging infrastructure that enables asynchronous communication between applications, allowing for reliable and scalable distribution of messages. On the other hand, the Scheduler API focuses on scheduling and executing jobs or tasks at specific predetermined times.

  2. Message Persistence: Azure Service Bus offers built-in message persistence, ensuring that messages are reliably stored and can be retrieved even in the case of system failures. Scheduler API, however, does not provide built-in support for persistence since it is primarily a job scheduling tool.

  3. Message Delivery Guarantees: Service Bus guarantees "at least once" message delivery, ensuring that messages are delivered to the receiver at least once. In contrast, Scheduler API does not provide any message delivery guarantees because it focuses on job scheduling rather than message delivery.

  4. Communication Patterns: Service Bus supports various messaging patterns such as publish/subscribe, request/response, and peer-to-peer communication, making it suitable for complex messaging scenarios. Scheduler API, being a job scheduling service, does not provide the same level of flexibility and communication patterns.

  5. Scalability and Throughput: Azure Service Bus has the ability to handle high volumes of messages and provides advanced features such as partitioning and message batching to achieve high scalability and throughput. Scheduler API, on the other hand, is not designed to handle high message volumes and does not offer the same scalability features.

  6. Integration with other Azure Services: Service Bus integrates seamlessly with other Azure services such as Azure Functions, Logic Apps, and Event Grid, allowing for the creation of powerful and event-driven workflows. Scheduler API, while capable of triggering actions in other Azure services, does not provide the same level of integration options as Service Bus.

In Summary, Azure Service Bus primarily focuses on message queuing, guarantees message persistence and delivery, supports various communication patterns, provides high scalability, throughput, and integrates well with other Azure services. Scheduler API, on the other hand, is mainly used for job scheduling, lacks message persistence and delivery guarantees, supports limited communication patterns, has lower scalability, throughput, and integration options.

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Advice on Azure Service Bus, Scheduler API

André
André

Technology Manager at GS1 Portugal - Codipor

Jul 30, 2020

Needs adviceon.NET Core.NET Core

Hello dear developers, our company is starting a new project for a new Web App, and we are currently designing the Architecture (we will be using .NET Core). We want to embark on something new, so we are thinking about migrating from a monolithic perspective to a microservices perspective. We wish to containerize those microservices and make them independent from each other. Is it the best way for microservices to communicate with each other via ESB, or is there a new way of doing this? Maybe complementing with an API Gateway? Can you recommend something else different than the two tools I provided?

We want something good for Cost/Benefit; performance should be high too (but not the primary constraint).

Thank you very much in advance :)

461k views461k
Comments

Detailed Comparison

Azure Service Bus
Azure Service Bus
Scheduler API
Scheduler API

It is a cloud messaging system for connecting apps and devices across public and private clouds. You can depend on it when you need highly-reliable cloud messaging service between applications and services, even when one or more is offline.

It is a simple API to delay SQS messages. Call our APIs and we'll publish your messages when you need them.

-
scheduling ; cancelling scheduled SQS messages; changing the delay for already scheduled messages; checking the status of scheduled messages
Statistics
Stacks
553
Stacks
5
Followers
536
Followers
16
Votes
7
Votes
0
Pros & Cons
Pros
  • 4
    Easy Integration with .Net
  • 2
    Cloud Native
  • 1
    Use while high messaging need
Cons
  • 1
    Skills can only be used in Azure - vendor lock-in
  • 1
    Observability of messages in the queue is lacking
  • 1
    Limited features in Basic tier
  • 1
    Lacking in JMS support
No community feedback yet

What are some alternatives to Azure Service Bus, Scheduler API?

Kafka

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Celery

Celery

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

Amazon SQS

Amazon SQS

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

ActiveMQ

ActiveMQ

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.

ZeroMQ

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Apache NiFi

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Gearman

Gearman

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

Memphis

Memphis

Highly scalable and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming apps fast.

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